The year 2020 was ushered in with a historical novel virus (COVID-19) pandemic in a manner that the world has never witnessed before. The human-to-human transmission rates of the virus are not only alarming and worrisome but also, the respiratory dysfunction and unwavering deaths it caused have risen global concerns. We employ the daily situation data on reported cases of COVID-19 to explicate the implications of the lockdown lifting in Nigeria using both qualitative and descriptive statistics. The study is particularly motivated by the urgency of need to inform policymakers and the government on the pending danger of an unplanned phased lifting of lockdown, which contravenes medical standards at the local and international fora. Of the three episodes of COVID-19 identified in Nigeria, the easing up phases witness the highest cases of the virus with the addition of over 32,000 in just 73 days. Besides, there are clear indications that the pre-planning processes that led to easing the lockdown did not adhere to the global practices and guidelines as stipulated by WHO. Every day of the easing phase of the lockdown has witnessed an increasing number of cases indicating the possibility is that the COVID 19 cases may escalate in future dates. By implication, the healthcare system is at the risk of being overwhelmed and thus unable to rescue the situation which could further aggravate the number of untimely death afflicting the citizens.With the tremendous advances in technology, gas-sensing devices are being popularly used in many distinct areas, including indoor environments, industries, aviation, and detectors for various toxic domestic gases and vapors. Even though the most popular type of gas sensor, namely, resistive-based gas sensors, have many advantages over other types of gas sensors, their high working temperatures lead to high energy consumption, thereby limiting their practical applications, especially in mobile and portable devices. As possible ways to deal with the high-power consumption of resistance-based sensors, different strategies such as self-heating, MEMS technology, and room-temperature operation using especial morphologies, have been introduced in recent years. In this review, we discuss different types of energy-saving chemisresitive gas sensors including self-heated gas sensors, MEMS based gas sensors, room temperature operated flexible/wearable sensor and their application in the fields of environmental monitoring. At the end, the review will be concluded by providing a summary, challenges, recent trends, and future perspectives.The recently developed Deep Transitions framework has so far been mainly used to explore the first deep transition towards industrial modernity. This paper looks at a potential second deep transition towards a circular economy, which is hoped to lead to a more sustainable global economic system. Our focus is on exploring the role of the EU in developing and diffusing this emerging set of rules. We draw on ideas from the international relations literature to explain why and how the EU adopted the idea of a circular economy, helped formulate it into a set of rules and how it promoted its international diffusion. The paper concludes with lessons about the case and critical reflections about the Deep Transitions framework. In particular, we argue for taking a more actor-based approach when researching the unfolding second deep transition.Coronavirus disease (COVID-19) is a global a pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Patients commonly present with respiratory tract symptoms and fever. However two third are asymptomatic and unusual presentation is evolving. This has cause management dilemma among physicians.
A 35 year young otherwise healthy male presented to emergency department of this institute with fever of 103 °F, abdominal pain, and pancytopenia with progressive fall in hemoglobin level was tested positive for COVID-19. Contrast enhance computed tomography of the patient revealed hemoperitoneum with splenic infarct. He was admitted in intensive care unit and managed with supportive treatment.
Respiratory and gastrointestinal symptoms with hematological abnormalities like lymphopenia, thrombocytopenia are common presentation of COVID-19. Although coagulopathy and vasculitis has been a well-documented entity in patients with COIVD-19, visceral infarction leading to spontaneous hemoperitoeum was unusual and rare clinical presentation.
A high degree of clinical suspicion and thorough evaluation helps in the diagnosis of COVID-19 and related complications. The management of cases with unusual presentation requires judicious and careful approach.
A high degree of clinical suspicion and thorough evaluation helps in the diagnosis of COVID-19 and related complications. The management of cases with unusual presentation requires judicious and careful approach.SARS-CoV-2, a novel Betacoronavirus, has attracted global attention because of its extremely high infection rate and large number of human deaths. It possesses a positive-sense, single-stranded RNA of?~?30 kb nucleotides as its genetic material. It is responsible for COVID-19 which has been declared a pandemic by WHO. Having reported for the first time in Wuhan, China, the virus infected over 21.48 million people and caused over 0.77 million deaths till mid-august 2020. SARS-CoV-2 contains the spike protein site that gets activated by an enzyme furin which is found in the lung, liver, and small intestine of humans. It shows the potentiality of virus for attacking multiple organs and their failures. Due to the absence of vaccines, the cure is restricted to supportive care including repurposed drugs. In silico approaches may offer an alternative screening to optimize hits to lead stages. It can provide important related to drug resistance, their lineages and evolution. https://www.selleckchem.com/MEK.html This approach may also help to find an effective vaccine against COVID-19. This review focuses on the in silico aspects of genomics, proteomics, pathogenesis, phylogenetic analysis and viral receptor binding analysis in Betacoronavirus.